21 Lessons, Get Started Building with Generative AI
Repository Index
47,133 repositories indexed
1–24 of 28 · Most stars
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- ml
- data-science
- machine-learning
- machine-learning-algorithms
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
10 Weeks, 20 Lessons, Data Science for All!
Neural Networks: Zero to Hero
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
TranslatedThe pytorch handbook is an open-source book that aims to help friends who want to use PyTorch for deep learning development and research get started quickly. All of the PyTorch tutorials it contains have been tested to ensure they run successfully.
- pytorch
- pytorch-tutorials
- pytorch-handbook
- deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
- machine-learning
- mlops
- model-deployment
- model-monitoring
Learn ML engineering for free in 4 months! Register here 👇🏼
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
- computer-vision
- deep-learning
- drug-discovery
- forecasting
Solve puzzles. Learn CUDA.
- cuda
- machine-learning
- puzzles
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of May, 2022.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Simple tutorials using Google's TensorFlow Framework
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
- templates
- opensource
- naas
- notebooks-templates
Implementing a Neural Network from Scratch
Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
- social-network
- indiana-university
- network-science
- textbook
Urban Informatics and Visualization (UC Berkeley CP255)
Materials for GWU DNSC 6279 and DNSC 6290.